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| Name: vmaf | Distribution: Mageia |
| Version: 3.2.0 | Vendor: Mageia.Org |
| Release: 1.mga11 | Build date: Sun Jul 12 12:17:34 2026 |
| Group: Video/Editors and Converters | Build host: localhost |
| Size: 75796 | Source RPM: vmaf-3.2.0-1.mga11.src.rpm |
| Packager: daviddavid <daviddavid> | |
| Url: https://github.com/Netflix/vmaf | |
| Summary: Video Multi-Method Assessment Fusion | |
VMAF is a perceptual video quality assessment algorithm developed by Netflix. VMAF Development Kit (VDK) is a software package that contains the VMAF algorithm implementation, as well as a set of tools that allows a user to train and test a custom VMAF model. For an overview, read this tech blog post, or this slide deck.
BSD-2-Clause-Patent AND BSD-3-Clause
* Sun Jul 12 2026 daviddavid <daviddavid> 3.2.0-1.mga11 + Revision: 2348101 - new version: 3.2.0 * Sun Jun 29 2025 umeabot <umeabot> 3.0.0-2.mga10 + Revision: 2225061 - Mageia 10 Mass Rebuild * Wed Jul 17 2024 daviddavid <daviddavid> 3.0.0-1.mga10 + Revision: 2081933 - initial package vmaf
/usr/bin/vmaf /usr/lib/.build-id /usr/lib/.build-id/4d /usr/lib/.build-id/4d/125914b74bc525295a0d5669acf179bcee73ce /usr/share/doc/vmaf /usr/share/doc/vmaf/README.md
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Fabrice Bellet, Fri Jul 31 08:15:57 2026